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Maximizing target-temporal coverage of mission-driven camera sensor networks

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Abstract

In camera sensor networks (CSNs), the target coverage problem is of special importance since a sensor with different viewing directions captures distinct views for the same target. Furthermore, mission-driven monitoring applications in CSNs usually have special network lifetime requirements in which the limited battery lifetime of sensors probably can not sustain for full coverage. In this paper, based on effective-sensing model, we address three new coverage problems in mission-driven camera sensor networks, namely the target-temporal effective-sensing coverage with non-adjustable cameras (TEC-NC) problem, the target-temporal effective-sensing coverage with adjustable cameras (TEC-AC) problem, and the target-temporal effective-sensing coverage with fully-adjustable cameras (TEC-FAC) problem. Given a mission period, the common objective of the problems is to find a sleep-wakeup schedule such that the overall target-temporal coverage is maximized. For TEC-NC, we propose a 2-approximation algorithm and two new heuristics. We also design two greedy strategies, each of which can be combined with our solutions for TEC-NC to deal with TEC-AC and TEC-FAC, respectively. We finally conduct extensive experiments to evaluate the performance of the proposed algorithms, whose results indicate the proposed algorithms outperform the existing alternatives as well as are close to the theoretical optimum on average under certain conditions.

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Acknowledgments

This paper was supported in part by the National Natural Science Foundation of China under grant 11671400. It was also supported in part by Research Fund of Beijing Institute of Petrochemical Technology (15031862005/006).

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Authors and Affiliations

  1. Information Engineering College, Beijing Institute of Petrochemical Technology, Beijing, 102617, People’s Republic of China

    Yi Hong

  2. School of Information, Renmin University of China, Beijing, 100872, People’s Republic of China

    Deying Li & Wenping Chen

  3. Department of Mathematics and Physics, North Carolina Central University, Durham, NC, 27707, USA

    Donghyun Kim & Alade O. Tokuta

  4. School of Information Science and Engineering, Qufu Normal University, Rizhao, 76826, People’s Republic of China

    Jiguo Yu

Authors
  1. Yi Hong
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  2. Deying Li
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  3. Donghyun Kim
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  4. Wenping Chen
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  5. Jiguo Yu
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  6. Alade O. Tokuta
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Correspondence to Deying Li.

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Hong, Y., Li, D., Kim, D. et al. Maximizing target-temporal coverage of mission-driven camera sensor networks. J Comb Optim 34, 279–301 (2017). https://doi.org/10.1007/s10878-016-0071-3

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  • DOI: https://doi.org/10.1007/s10878-016-0071-3

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